Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Serum Laboratory Studies, Stool Test, Breath Test01:30

Serum Laboratory Studies, Stool Test, Breath Test

Gastrointestinal (GI) diagnostic studies are pivotal in confirming, ruling out, diagnosing, or staging various diseases, including cancers. Following diagnosis, allocating time for discussions with the patient and providing informational resources is crucial. Diagnostic assessments of the GI tract often occur in outpatient settings like endoscopy suites or GI labs. Preparation for these tests may include dietary restrictions, fasting, liquid bowel preparations, laxatives, enemas, and the...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Castanea mollissima shell prevents an over expression of inflammatory response and accelerates the dermal wound healing.

Journal of ethnopharmacology·2018
Same author

Development and Applications of Chromosome-Specific Cytogenetic BAC-FISH Probes in <i>S. spontaneum</i>.

Frontiers in plant science·2018
Same author

Neuroprotective effect of berberine agonist against impairment of learning and memory skills in severe traumatic brain injury via Sirt1/p38 MAPK expression.

Molecular medicine reports·2018
Same author

Multidrug-Resistant <i>Escherichia albertii</i>: Co-occurrence of β-Lactamase and MCR-1 Encoding Genes.

Frontiers in microbiology·2018
Same author

Potentials, Challenges, and Genetic and Genomic Resources for Sugarcane Biomass Improvement.

Frontiers in plant science·2018
Same author

Three New Indole Diketopiperazine Alkaloids from Aspergillus ochraceus.

Chemistry & biodiversity·2018

相关实验视频

Updated: Jul 20, 2026

Biochemical and High Throughput Microscopic Assessment of Fat Mass in Caenorhabditis Elegans
16:07

Biochemical and High Throughput Microscopic Assessment of Fat Mass in Caenorhabditis Elegans

Published on: March 30, 2013

21.2K

基于改进的虫优化算法进行重量分配的组合模型研究,用于使用实验室测试指标查结直肠癌.

Zhou Yu1, Jianping Wang1, Ping Li2

  • 1Department of Colorectal and Anal Surgery, Jinhua Municipal Central Hospital, Jinhua, China.

Journal of gastrointestinal oncology
|November 12, 2025
PubMed
概括

这项研究引入了一种新的机器学习模型,MSADBO-WV,用于使用常规实验室测试进行早期结直肠癌 (CRC) 查. 该模型显示了高精度,改善了早期检测和患者的结果.

关键词:
组合模型模型组合模型甲虫优化 甲虫优化实验室测试指标 实验室测试指标查结直肠癌 (查结直肠癌) 的方法重量分配分配的重量分配.

更多相关视频

Non-invasive Assessment of the Efficacy of New Therapeutics for Intestinal Pathologies Using Serial Endoscopic Imaging of Live Mice
09:01

Non-invasive Assessment of the Efficacy of New Therapeutics for Intestinal Pathologies Using Serial Endoscopic Imaging of Live Mice

Published on: March 10, 2015

10.4K
A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
08:14

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

Published on: February 28, 2018

9.2K

相关实验视频

Last Updated: Jul 20, 2026

Biochemical and High Throughput Microscopic Assessment of Fat Mass in Caenorhabditis Elegans
16:07

Biochemical and High Throughput Microscopic Assessment of Fat Mass in Caenorhabditis Elegans

Published on: March 30, 2013

21.2K
Non-invasive Assessment of the Efficacy of New Therapeutics for Intestinal Pathologies Using Serial Endoscopic Imaging of Live Mice
09:01

Non-invasive Assessment of the Efficacy of New Therapeutics for Intestinal Pathologies Using Serial Endoscopic Imaging of Live Mice

Published on: March 10, 2015

10.4K
A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
08:14

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

Published on: February 28, 2018

9.2K

科学领域:

  • 在瘤学瘤学.
  • 生物信息学是一种生物信息学.
  • 机器学习 机器学习

背景情况:

  • 早期对结直肠癌 (CRC) 的查对于生存和降低成本至关重要.
  • 目前的CRC检测方法缺乏准确性,灵敏性和通用性.
  • 需要先进的方法来提高早期CRC查的性能.

研究的目的:

  • 为早期CRC查开发一种先进的机器学习方法.
  • 用例行实验室测试指标来改进CRC检测.
  • 提高早期CRC识别的准确性和有效性.

主要方法:

  • 通过实验室指标,探索了常见机器学习方法对CRC的分类效应.
  • 对比综合模型并提出加权投票策略 (MSADBO-WV).
  • 在45个数据集特征上进行特征选择,用于CRC预测.

主要成果:

  • MSADBO-WV方法的性能优于其他集成和普通机器学习方法.
  • 在26个选定的特征中实现了最高准确率98.42%±1.53%的精度.
  • 证明了分析框架对有效CRC查的实用性.

结论:

  • 在结直肠癌查中,MSADBO-WV显示出有前途的性能.
  • 在未来的临床研究中需要进一步评估.
  • 该方法可以帮助早期CRC查和预防策略.